Performance evaluation of energy detection based spectrum sensing for cognitive radio networks
| dc.contributor.author | Oyibo, Alewo Michael | |
| dc.date.accessioned | 2014-08-05T11:43:05Z | |
| dc.date.accessioned | 2023-04-20T01:23:39Z | |
| dc.date.available | 2014-08-05T11:43:05Z | |
| dc.date.available | 2023-04-20T01:23:39Z | |
| dc.date.issued | 2014-08-05 | |
| dc.description | A thesis submitted to the Department of Electrical/Electronics Engineering, College of Engineering in fulfillment of the requirements for the degree of Master of Science, 2014 | en_US |
| dc.description.abstract | The rapid growth of bandwidth demanding wireless technologies has led to the problem of spectrum scarcity. However, studies show that licensed spectrum is underutilized. Cognitive radio technology promises a solution to the problem by allowing unlicensed users, access to the licensed bands opportunistically. A prime component of the cognitive radio technology is spectrum sensing. Many spectrum sensing techniques have been developed to sense the presence or not of a licensed user. This thesis evaluates the performance of the energy detection based spectrum sensing technique in noisy and fading environments. Both single user detection and cooperative detection situations were investigated. Closed form solutions for the probabilities of detection and false alarm were derived. The ana- lytical results were veri ed by numerical computations using Monte Carlo method with MATLAB. The performance of the energy detection technique was evaluated by use of Receiver Operating Characteristics (ROC) curves over additive white Gaussian noise (AWGN) and fading (Rayleigh & Nakagami-m) channels. Results show that for single user detection, the energy detection technique performs bet- ter in AWGN channel than in the fading channel models. The performance of cooperative detection is better than single user detection in fading environments. | en_US |
| dc.description.sponsorship | KNUST | en_US |
| dc.identifier.uri | https://ir.knust.edu.gh/handle/123456789/6250 | |
| dc.language.iso | en | en_US |
| dc.title | Performance evaluation of energy detection based spectrum sensing for cognitive radio networks | en_US |
| dc.type | Thesis | en_US |
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